On a warm Connecticut evening in 1989, the two coauthors of this volume discussed the lack of books that explain computer modeling methods, in particular nonlinear regression analysis, to chemists and biochemists in an understandable way. Our own early experiences in this field required digging out information from very good but mathematically dense texts. Thus, we felt that there was a need for a monograph introducing the practical aspects of nonlinear regression analysis to the average chemist and biochemist.
This book is the result of our discussions. We attempt to provide a solid introduction to the basics of nonlinear regression analysis in a format that does not rely heavily on mathematical symbolism. Only a rudimentary knowledge of algebra, elementary calculus, statistics, and computers should be necessary for the reader. The book is suitable for senior undergraduates and graduate students in chemistry or biochemistry, as well as professional practitioners in these fields. Part of the material has been taught to senior chemistry majors and graduate students in courses on computers in analytical chemistry for 15 years...